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青岛地区降雨噪声特性分析
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摘要
传统降雨测量是利用各种量具(如翻斗式雨量计)获取固定时间间隔内降落在收集器里的水量,但传统方法不适用海面上降雨量的测量,数据可靠性差,因此本文研究基于声学方法的降雨噪声特性分析和降雨量测量,有利于海气交换研究。通过约一年半时间内在青岛市中国海洋大学映月湖采集不同降雨量、不同风速下的水下噪声信号,进行谱分析,结果发现,无降雨时,水下噪声谱级随风速的增加而增大;当降雨量小于6mm/h时,相同降雨量条件下,降雨噪声谱级随风速的增加而下降,因为风速的存在降低了雨滴产生气泡的概率;随着降雨量的增加,雨滴产生气泡的直径增大,谱峰向低频移动。此外,通过对噪声谱进行平滑平均,得到了青岛地区降雨量与单一特征频率对应功率谱幅值之间的拟合关系,达到了基于声学方法的青岛地区降雨量量化预测目的。
The traditional methods of precipitation measuring is normally applied some barrels, such as tipping bucket rain gauge, to obtain the water landing during a certain fixed time interval. But those traditional methods are very difficult for precipitation data collection on the sea. And the reliability of data is so poor. Therefore, how to measure precipitation with acoustic methods is studied in the paper. Underwater noise signals under different wind speed and different rainfall rate have been collected in Moon Lake of Ocean University of China during about one and half year. Spectrum analysis results of noise signals indicate that when there is no rainfall, the spectrum level of underwater noise increases along with wind speed increases; when precipitation is less than 6mm/h, the spectrum level decreases as wind speed increases under the condition of the same rainfall amount. Because the existence of wind speed reduces the generation probability of rain bubbles. Besides, with rainfall intensity increasing, water bubbles' diameter also is increased; as a result, the spectrum peak is shifted to lower frequency. In addition, the relationship between precipitation and the amplitude of a single characteristic frequency is fitted by smoothing and averaging those noise spectrums, therefore the purpose of predicting rainfall in Qingdao quantifiably has been achieved.
引文
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